Releases: googleapis/python-bigquery-pandas
Releases · googleapis/python-bigquery-pandas
v0.17.7
0.17.7 (2022-07-11)
Bug Fixes
- allow
to_gbq
to run without bigquery.tables.create
permission. (#539) (3988306)
v0.17.6
0.17.6 (2022-06-03)
Documentation
- fix changelog header to consistent size (#529) (218e06a)
v0.17.4
0.17.4 (2022-03-14)
Bug Fixes
- avoid deprecated "out-of-band" authentication flow (#500) (4758e3a)
- correctly transform query job timeout configuration and exceptions (#492) (d8c3900)
v0.17.3
0.17.3 (2022-03-05)
Bug Fixes
- deps: require google-api-core>=1.31.5, >=2.3.2 (#493) (744a71c)
- deps: require google-auth>=1.25.0 (744a71c)
- deps: require proto-plus>=1.15.0 (744a71c)
v0.17.2
0.17.2 (2022-03-02)
Dependencies
v0.17.1
0.17.1 (2022-02-24)
Bug Fixes
- avoid
TypeError
when executing DML statements with read_gbq
(#483) (e9f0e3f)
Documentation
- document additional breaking change in 0.17.0 (#477) (a858c80)
v0.17.0
0.17.0 (2022-01-19)
⚠ BREAKING CHANGES
- use nullable Int64 and boolean dtypes if available (#445)
Features
- accepts a table ID, which downloads the table without a query (#443) (bf0e863)
- use nullable Int64 and boolean dtypes if available (#445) (89078f8)
Bug Fixes
read_gbq
supports extreme DATETIME values such as 0001-01-01 00:00:00
(#444) (d120f8f)
to_gbq
allows strings for DATE and floats for NUMERIC with api_method="load_parquet"
(#423) (2180836)
- allow extreme DATE values such as
datetime.date(1, 1, 1)
in load_gbq
(#442) (e13abaf)
- avoid iteritems deprecation in pandas prerelease (#469) (7379cdc)
- use data project for destination in
to_gbq
(#455) (891a00c)
Miscellaneous Chores
v0.16.0
Features
to_gbq
uses Parquet by default, use api_method="load_csv"
for old behavior (#413) (9a65383)
- allow Python 3.10 (#417) (faba940)
Miscellaneous Chores
Documentation